code: def test_compute_output_spec(self):
      # Test that implementing compute_output_shape
      # is enough to make compute_output_spec work.
  
      # Case: single output
      class TestLayer(layers.Layer):
          def call(self, x):
              assert False  # Should never be called.
  
          def compute_output_shape(self, input_shape):
              return input_shape
  
      layer = TestLayer()
      self.assertEqual(
          layer.compute_output_spec(backend.KerasTensor((2, 3))).shape,
          (2, 3),
      )
  
      # Case: tuple output
      class TestLayer(layers.Layer):
          def call(self, x):
              assert False  # Should never be called.
  
          def compute_output_shape(self, input_shape):
              return (input_shape, input_shape)
  
      layer = TestLayer()
      out = layer.compute_output_spec(backend.KerasTensor((2, 3)))
      self.assertIsInstance(out, tuple)
      self.assertEqual(len(out), 2)
      self.assertEqual(out[0].shape, (2, 3))
      self.assertEqual(out[1].shape, (2, 3))
  
      # Case: list output
      class TestLayer(layers.Layer):
          def call(self, x):
              assert False  # Should never be called.
  
          def compute_output_shape(self, input_shape):
              return [input_shape, input_shape]
  
      layer = TestLayer()
      out = layer.compute_output_spec(backend.KerasTensor((2, 3)))
      self.assertIsInstance(out, list)
      self.assertEqual(len(out), 2)
      self.assertEqual(out[0].shape, (2, 3))
      self.assertEqual(out[1].shape, (2, 3))
  
      # Case: dict output
      class TestLayer(layers.Layer):
          def call(self, x):
              assert False  # Should never be called.
  
          def compute_output_shape(self, input_shape):
              return {"1": input_shape, "2": input_shape}
  
      layer = TestLayer()
      out = layer.compute_output_spec(backend.KerasTensor((2, 3)))
      self.assertIsInstance(out, dict)
      self.assertEqual(len(out), 2)
      self.assertEqual(out["1"].shape, (2, 3))
      self.assertEqual(out["2"].shape, (2, 3))
  
      # Case: nested tuple output
      class TestLayer(layers.Layer):
          def call(self, x):
              assert False  # Should never be called.
  
          def compute_output_shape(self, input_shape):
              return (
                  input_shape,
                  (input_shape, input_shape),
                  (input_shape, input_shape),
              )
  
      layer = TestLayer()
      out = layer.compute_output_spec(backend.KerasTensor((2, 3)))
      self.assertIsInstance(out, tuple)
      self.assertEqual(len(out), 3)
      self.assertEqual(out[0].shape, (2, 3))
      self.assertIsInstance(out[1], tuple)
      self.assertEqual(len(out[1]), 2)
      self.assertEqual(out[1][0].shape, (2, 3))
      self.assertEqual(out[1][1].shape, (2, 3))
      self.assertIsInstance(out[2], tuple)
      self.assertEqual(len(out[2]), 2)
      self.assertEqual(out[2][0].shape, (2, 3))
      self.assertEqual(out[2][1].shape, (2, 3))
  
      # Case: nested dict output
      class TestLayer(layers.Layer):
          def call(self, x):
              assert False  # Should never be called.
  
          def compute_output_shape(self, input_shape):
              return {
                  "1": input_shape,
                  "2": {"11": input_shape, "22": input_shape},
              }
  
      layer = TestLayer()
      out = layer.compute_output_spec(backend.KerasTensor((2, 3)))
      self.assertIsInstance(out, dict)
      self.assertEqual(len(out), 2)
      self.assertEqual(out["1"].shape, (2, 3))
      self.assertIsInstance(out["2"], dict)
      self.assertEqual(len(out["2"]), 2)
      self.assertEqual(out["2"]["11"].shape, (2, 3))
      self.assertEqual(out["2"]["22"].shape, (2, 3))
  
imports: import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import metrics
  from keras import models
  from keras import ops
  from keras import testing
label_desc: Use image node_id 1 for calling the LayerTest obj's underlying member method code with example usage: obj.test_compute_output_spec() and returns: input_shape, input_shape,  input_shape, list, dict, input_shape,  input_shape,  input_shape,  input_shape,  input_shape, dict